{
  "model": "gemini-2.0-flash-thinking-exp-1219",
  "messages": [
    {
      "role": "system",
      "content": [
        {"type": "text", "text": "你是一个图片分析助手。"}
      ]
    },
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "图片URL"
          }
        },
        {
          "type": "text",
          "text": "分析提示词"
        }
      ]
    }
  ],
  "temperature": 0.1,
  "user": "whatai"
}

import requests

# API配置
BASE_URL = "https://api.whatai.cc/"
API_ENDPOINT = BASE_URL + "v1/chat/completions"
API_KEY = "sk-******"  # 替换为你的API密钥
IMAGE_URL = "https://api.whatai.cc/111.jpg"  # 替换为你的图片URL

def analyze_image(image_url, prompt):
    """
    图片分析函数
    :param image_url: 图片URL
    :param prompt: 分析提示词
    :return: 分析结果文本
    """
    payload = {
        "model": "gemini-2.0-flash-thinking-exp-1219",
        "messages": [
            {
                "role": "system",
                "content": [{"type": "text", "text": "你是一个图片分析助手。"}]
            },
            {
                "role": "user",
                "content": [
                    {"type": "image_url", "image_url": {"url": image_url}},
                    {"type": "text", "text": prompt}
                ]
            }
        ],
        "temperature": 0.1
    }
    
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_KEY}"
    }

    try:
        response = requests.post(API_ENDPOINT, headers=headers, json=payload)
        response.raise_for_status()
        return response.json()["choices"][0]["message"]["content"]
    except Exception as e:
        print(f"请求失败: {e}")
        return None

# 使用示例
if __name__ == "__main__":
    result = analyze_image(IMAGE_URL, "请描述这张图片的内容")
    if result:
        print("分析结果:", result)

{
    "model": "gpt-4.1",
    "messages": [
        {
            "role": "user",
            "content": "Hello!"
        }
    ]
}

{
    "model": "claude-3-5-sonnet-20240620",
    "max_tokens": 1024,
    "messages": [
        {
            "role": "user",
            "content": "Hello, world"
        }
    ]
}

import base64
import requests

def encode_image(image_path):
    """将本地图片编码为Base64字符串"""
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode("utf-8")

# API配置
BASE_URL = "https://api.whatai.cc/"
API_ENDPOINT = BASE_URL + "v1/chat/completions"
API_KEY = "sk-******"  # 替换为你的API密钥

# 准备请求数据
image_data = encode_image("example.png")  # 本地图片路径

payload = {
    "model": "gpt-4o",  # 指定分析模型
    "messages": [
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "请分析图片内容"},
                {
                    "type": "image_url",
                    "image_url": {
                        "url": f"data:image/png;base64,{image_data}"
                    }
                }
            ]
        }
    ],
    "temperature": 0.1
}

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

# 发送请求
response = requests.post(API_ENDPOINT, headers=headers, json=payload)
print(response.json())  # 输出响应结果

import http.client
import json

# 创建HTTPS连接
conn = http.client.HTTPSConnection("api.whatai.cc")

# 构造请求体
payload = json.dumps({
    "model": "gpt-4o",  # 指定模型
    "max_tokens": 300,  # 最大返回token数
    "temperature": 0.8,  # 生成结果的随机性控制
    "stream": False,  # 是否流式输出
    "messages": [{
        "role": "user",
        "content": "上海今天几度？"  # 用户提问
    }],
    "tools": [{  # 定义可用工具
        "type": "function",
        "function": {
            "name": "get_current_weather",  # 函数名称
            "description": "获得天气信息",  # 功能描述
            "parameters": {  # 参数定义
                "type": "object",
                "properties": {
                    "location": {  # 必填参数：地点
                        "type": "string",
                        "description": "城市和州名，例如：上海, 中国"
                    },
                    "unit": {  # 可选参数：温度单位
                        "type": "string",
                        "enum": ["celsius", "fahrenheit"]
                    }
                },
                "required": ["location"]  # 必填参数列表
            }
        }
    }]
})

# 请求头设置
headers = {
    "Accept": "application/json",
    "Authorization": "Bearer sk-**********************",  # 替换为你的 API 令牌
    "Content-Type": "application/json"
}

# 发送请求
conn.request("POST", "/v1/chat/completions", payload, headers)

# 获取响应
res = conn.getresponse()
data = res.read()

# 输出结果
print(data.decode("utf-8"))